Events
Jun 5 - Jun 11, 2022
May 29 - Jun 4, 2022
Differentially private testing of symmetry equivalence hypotheses based on the characteristic function
Prof. Simos G. Meintanis, University of Athens
B1 L4 R4102
Apr 24 - Apr 30, 2022
Time-domain and frequency-domain approaches for multiple and multivariate time series - Lecture 3
Prof. Raquel Prado, Department of Statistics, University of California
B1 L4 R4102
Conditionally Gaussian dynamic models, non-linear models and multi-process models for univariate time series - Lecture 2
Prof. Raquel Prado, Department of Statistics, University of California
B1 L4 R3119
Spatio-Temporal Statistical Models Using Integro-Differential Equations
Prof. Bruno Sanso, Department of Statistics, University of California
B1 L4 R4102
Dynamic linear models: Theory, computation and case studies - Lecture 1
Prof. Raquel Prado, Department of Statistics, University of California
B1 L4 R4102
Model Survival Data with high and ultrahigh dimensional predictors: feature screening and statistical inference - Lecture 2
Yi Li, Professor, Biostatistics, University of Michigan
B1 L4 R4102
Apr 17 - Apr 23, 2022
Gaussian Graphical Regression with High-Dimensional Responses and Covariates
Yi Li, Professor, Biostatistics, University of Michigan
B2 B3 A0215
Enhancing mixing in binary fluids
Prof. Peter J. Schmid, Professor, Mechanical Engineering, KAUST
B9 L2 H2
Regularized Regression for Survival Data: Methods and Applications
Yi Li, Professor, Biostatistics, University of Michigan
B1 L4 R4102
Apr 10 - Apr 16, 2022
Biomedical research: a world of statistical challenges
Prof. David Gomez-Cabrero, Biological, Environmental Science and Eng, KAUST
B9 L2 H2
Apr 3 - Apr 9, 2022
Mar 27 - Apr 2, 2022
Mar 20 - Mar 26, 2022
Mar 13 - Mar 19, 2022
Mar 6 - Mar 12, 2022
Feb 27 - Mar 5, 2022
Feb 20 - Feb 26, 2022
Feb 13 - Feb 19, 2022
Feb 6 - Feb 12, 2022
Jan 30 - Feb 5, 2022
Exoplanet Imaging Coronagraphic Mask Development and Testing: A North American Perspective
Benjamin L. Gerard, Postdoctoral Scholar, University of California, UC Observatories
KAUST
Jan 23 - Jan 29, 2022
Backward induction: from theory to empirics
Konrad Grabiszewski, Instructional Professor, Applied Mathematics and Computational Sciences
KAUST
Dec 5 - Dec 11, 2021
Nov 28 - Dec 4, 2021
Semiparametric Regression Models for Between and Within-subject Attributes: Applications to High-Dimensional Data, Asymptotic Efficiency and Beyond
Jinyuan Liu, PhD Student, Biostatistics, University of California, USA
KAUST
Nov 21 - Nov 27, 2021
Nov 14 - Nov 20, 2021
Nov 7 - Nov 13, 2021
Oct 31 - Nov 6, 2021
Joint modeling of dependent diverse format data: A review from several case-studies
Giovani Silva, PhD in Mathematics (IST) at the University of Lisbon
KAUST
Oct 24 - Oct 30, 2021
Oct 17 - Oct 23, 2021
Oct 10 - Oct 16, 2021
Bayesian image analysis in Fourier space (BIFS) models and some relationships with Markov random fields
Prof. John Kornak, Biostatistics, University of California, San Francisco
B4 B5 A0215
Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation
Nikolas Kantas, Associate Professor, Department of Mathematics, Imperial College London
KAUST
Oct 3 - Oct 9, 2021
Sep 26 - Oct 2, 2021
Randomized multilevel Monte Carlo for inference
Kody J.H. Law, Professor, Applied Mathematics in the Department of Mathematics, University of Manchester and Manchester Institut
KAUST